Title :
Hardware implementation of LU decomposition using dataflow architecture on FPGA
Author :
Eljammaly, Mahmoud ; Hanafy, Yasser ; Wahdan, Ahmed ; Bayoumi, A.
Author_Institution :
Arab Acad. for Sci. & Technol. & Maritime Transp., Cairo, Egypt
Abstract :
Recent FPGA technology advances permitted the hardware implementation of selected software functions to enhance programs performance. Most of the work done was only concerned with integer operations. Little effort addressed floating point operations. In this paper we propose a dataflow implementation of the LU decomposition on FPGA. A modified Kernighan-Lin based task partitioning and assignment algorithm is presented in this paper. The algorithm showed acceptable improvement over existing techniques.
Keywords :
field programmable gate arrays; mathematics computing; matrix decomposition; parallel processing; FPGA technology; Kernighan-Lin based task assignment algorithm; Kernighan-Lin based task partitioning algorithm; LU decomposition; dataflow architecture; field programmable gate array; lower-upper decomposition; lower-upper factorization algorithm; software function; software program performance; Field programmable gate arrays; Matrices; Multiprocessor interconnection; Parallel processing; Partitioning algorithms; Sparse matrices; FPGA; Kernighan-Lin algorithm; LU factorization; parallel processing; tagged-token dataflow architecture;
Conference_Titel :
Computer Science and Information Technology (CSIT), 2013 5th International Conference on
Conference_Location :
Amman
DOI :
10.1109/CSIT.2013.6588795